Akira Maeda
About
In The Last Decade
Akira Maeda
69 papers receiving 450 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 294
- Electrical and Electronic Engineering 105
- Information Systems 92
- Radiology, Nuclear Medicine and Imaging 68
- Computer Networks and Communications 62
Countries citing papers authored by Akira Maeda
This map shows the geographic impact of Akira Maeda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akira Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Maeda more than expected).
Fields of papers citing papers by Akira Maeda
This network shows the impact of papers produced by Akira Maeda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akira Maeda. The network helps show where Akira Maeda may publish in the future.
Co-authorship network of co-authors of Akira Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Maeda. A scholar is included among the top collaborators of Akira Maeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akira Maeda. Akira Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | KINEMATIC AND TECHNICAL FACTORS FOR ACCELERATION OF WHOLE BODY IN ROTATIONAL SHOT PUT TECHNIQUE | 0 |
| 8 | 3 | |
| 9 | Cross-Language Record Linkage using Word Embedding driven Metadata Similarity Measurement. | 2 |
| 10 | 1 | |
| 11 | RDLL at CrossLink Anchor Extraction Considering Ambiguity in CLLD. | 1 |
| 12 | 3 | |
| 13 | Estimating aspects in online reviews using topic model with 2-level learning | 1 |
| 14 | Metadata-related challenges for realizing a federated searching system for Japanese humanities databases | 1 |
| 15 | Chinese Term Extraction from Web Pages Based on Compound Term Productivity | 6 |
| 16 | Exploiting and Combining Multiple Resources for Query Expansion in Cross - Language Information Retrieval | 1 |
| 17 | 1 | |
| 18 | Special Issue on Machine Vision Applications | 1 |
| 19 | Development of an Automatic Recognition System for Plant Diagrams. | 4 |
| 20 | A Utility Map Transformation System Based on Map Understanding. | 1 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.